1 to 25 of 26 Permanent Machine Learning Jobs in Scotland

test and deploy dependable AI-enabled solutions. Working as part of our AI and engineering community, you will contribute to live projects across the machine learning lifecycle, collaborating with software, data, systems and domain specialists to turn needs into secure, maintainable solutions. Your responsibilities may include: Preparing, exploring … validating data for machine learning use cases Developing and evaluating machine learning models and AI-enabled software components Writing clean, tested and documented code using appropriate engineering tools and practices Supporting model integration, deployment, monitoring and performance improvement Contributing to technical reviews, experiments and structured problem ...

detect financial crime, prevent fraud, and safeguard our customers. Working closely with data scientists, engineers, and senior technical colleagues, you will contribute to scalable ML pipelines, agentic AI systems, production-grade model code, and robust monitoring solutions. You will support delivery across the AI/ML lifecyclefrom data exploration … models Experience with deep learning or NLP frameworks, such as PyTorch or Hugging Face Good understanding of software engineering principles, design patterns, and ML lifecycle practices, including MLOps or LLMOps Experience contributing to the delivery of AI or ML projects and working effectively with technical and business stakeholders Some ...

pace and become job-ready in as little as a few weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

pace and become job-ready in as little as a few weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

ready architecture concepts including awareness of how engineering decisions around quality, latency, schema, security and lineage affect the reliability of downstream AI and ML systems A basic understanding of agentic AI concepts and how autonomous systems interact with and depend upon data and platform infrastructure You should apply … cloud or data platform certifications (e.g. Azure Data Engineer Associate, AWS Data Analytics Specialty, Databricks Certified Associate Developer, AWS Solutions Architect Associate) AI or ML engineering certifications (e.g. Databricks Generative AI Engineer, AWS Machine Learning Specialty, Google Professional ML Engineer) What's in it for you In addition ...

bank. JOB DESCRIPTION As a Lead Software Engineer at our client within Infrastructure Platforms Applied Artificial Intelligence and Machine Learning (AI/ML), you will join a small, specialist team responsible for creating horizontal capabilities, including reusable APIs, libraries, reference architectures, and practical enablement that accelerates delivery across … create new systems and capabilities that will accelerate our business. The ideal candidate brings a strong foundation in software engineering and AI/ML, along with proven experience leading the development and production operation of AI-enabled systems in secure, enterprise environments. In this role, you will collaborate closely with ...

Data Engineer, AWS Data Analytics Specialty) AI platform and engineering certifications (e.g. Databricks Generative AI Engineer, AWS Machine Learning Specialty, Google Professional ML Engineer) AI practitioner certifications demonstrating hands-on fluency with leading AI platforms for example Anthropic Claude Certified Architect (CCAR-F or CCAR-P), Microsoft Agentic ...

Fabric and Snowflake Architect and oversee AI-ready platform environments from the outset designing for the compute, networking, storage and security requirements of GenAI, ML and agentic workloads, not retrofitting them later Drive AIOps adoption across platform operations implementing intelligent monitoring, automated incident detection and response, and self-healing infrastructure … identity and access management, and policy-as-code engineering AI-ready platform architecture proven ability to design environments that meet the demands of GenAI, ML and agentic workloads in production Experience leading and mentoring engineering teams, setting technical direction and driving delivery to a high standard Familiarity with agentic ...

/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) An appetite for continual learning and professional development Preferred qualifications, capabilities, and skills Proficient in coding in one or more languages ...

/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) An appetite for continual learning and professional development Preferred qualifications, capabilities, and skills Proficient in coding in one or more languages ...

Experience with Azure Data Factory, Synapse Analytics, Data Lake, or related cloud data technologies. Experience creating executive dashboards and operational reporting solutions. Knowledge of machine learning, anomaly detection, predictive analytics, or statistical analysis techniques. Experience working with large-scale telemetry, operational, or IoT datasets. Familiarity with DevOps practices ...

customers and colleagues. To be successful as a Forward Deployment Engineer, you should have experience with: Good technical experience in AI/ML with experience developing and deploying solutions using LLMs, RAG architectures, and modern AI frameworks and protocols (Strands, FastMCP, LangChain, LlamaIndex, Hugging Face, A2A, MCP). Ability ...

customer-focused approach. Knowledge of financial data workflows. Experience working with data platforms, APIs, data models, or analytics products. Exposure to AI-enabled products, machine learning applications, or modern data technologies. Ability to translate strategic business objectives into practical product outcomes. Experience working across global teams and managing ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience Demonstrated experience leading effective ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience Experience in developing, debugging and automated ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

your passion and abilities at our client to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having ...

data warehouse architectures. Excellent stakeholder management, communication and leadership skills. Experience with dbt would be highly advantageous. Exposure to Medallion architecture, semantic modelling or Machine Learning would be beneficial. Why Join? This is an opportunity to join a successful, forward-thinking organisation that combines the stability and resources ...

They're Looking For ** Strong experience in a cybersecurity engineering, security operations or security architecture role. ** Experience working with AI technologies, generative AI platforms, machine learning environments or AI governance and security controls. ** A solid understanding of cybersecurity principles, frameworks and best practices, such as NIST ...

uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI. Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements. Design and create ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step ...

client is a leading British bank. We are seeking a skilled AI Engineer at our client to develop and implement machine learning and AI solutions that strengthen our ability … detect financial crime, prevent fraud, and safeguard our customers. Working closely with data scientists, engineers, and senior technical colleagues, you will contribute to scalable ML pipelines, agentic AI systems, product click apply for full job details ...

time on the programme, you will be under the sponsorship and guidance of the Engineering Leadership team and will follow a structured and detailed learning pathway to fast track your development within your role. During the programme, you will: Complete a 3-year Graduate Development Programme which is accredited … following subject areas: Aeronautical or Aerospace Engineering Electrical and/or Electronic Engineering Information Technology Mathematics Physics Systems Engineering AI, Machine Learning and Cybernetics All applicable technical or related degrees will be considered Benefits Competitive salary of £34,000 per annum Performance-related pay uplifts Holiday entitlement ...

applications. As an AI Platform Engineer, youll play a pivotal role in designing, building, and scaling robust platform components that enable advanced AI/ML workloads across both on-premises and cloud environments. This is a hands-on engineering role where your expertise will directly influence how we deliver secure … services (IAM, KMS, CloudFormation, API Gateway, S3, Lambda, ECS, Glue, Step Functions, MSK, EKS, Bedrock). Experience scaling platforms for AI/ML workloads and integrating generative AI tooling. Understanding of secure software development, cloud cost optimization, and platform observability. Ability to communicate complex technical concepts clearly to technical ...